Data-driven phenomapping for novel classification for cardiovascular outcomes compared with traditional obesity index: Tehran Lipid and Glucose Study

OBJECTIVE: This study aimed to propose a data-driven framework for classification of at-risk people for cardiovascular outcomes regarding obesity and metabolic syndrome. DESIGN: A population-based prospective cohort study with a long-term follow-up. SETTING: Data from the Tehran Lipid and Glucose St...

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Detalles Bibliográficos
Autores principales: Zare Borzeshi, Elahe, Valizadeh, Majid, Panahi, Mohammad Hossein, Khalili, Davood, Mousavizadeh, Mostafa, Mehrabi, Yadollah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277045/
https://www.ncbi.nlm.nih.gov/pubmed/37316323
http://dx.doi.org/10.1136/bmjopen-2022-071011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277045/
https://www.ncbi.nlm.nih.gov/pubmed/37316323
http://dx.doi.org/10.1136/bmjopen-2022-071011

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